"Embrace challenges, stay curious, and seek collaborations"

Hello, my name is Navid Haghmoradi. I am a postdoctoral researcher at KIT, working with the AIMat research group under the supervision of Pascal Friederich. I studied Industrial Metallurgy and Materials Corrosion in Iran, then did my PhD at Sabanci University in Istanbul.

What is the topic of your research at KIT?
In the AI for materials science group at KIT, I apply machine learning to materials science and chemistry, focusing on energy materials, self-driving labs, and explainable AI for molecular and structural studies.

Why did you - with a materials science background - decide to join a machine learning group?
Interdisciplinary research helps solve complex problems by developing predictive models, automating material discovery, and gaining deeper insights. For example, I use explainable AI to study electrochemical membrane stability, improving our understanding of molecular behavior in harsh environments.

What motivated you to choose Germany and KIT for your research and also your new home?
I came to KIT because of its strong research environment and vast collaboration opportunities with other institutes and industries. Germany has excellent funding opportunities and a collaborative scientific community. For example, my work has been funded by GC-MAC - the German-Canadian Materials Acceleration Center - supporting and developing methods for green energy technologies.

What cultural and academic differences have you noticed?
Germany’s structured research approach and strong work ethic have improved my efficiency. The direct communication style and language were challenges at first, but they helped with clarity and productivity. It takes more time and energy for me as a person who is learning the language to execute the same amount of efficiency at work. However, the organized mindset in Germany has helped me a lot. KIT and the AIMat research group, specifically Pascal, have been incredibly supportive, from administrative help to research collaborations. The international atmosphere makes it easier to integrate, and having colleagues from diverse backgrounds creates a strong support system.

What was surprising and unexpected to you?
I’ve gained exposure to cutting-edge interdisciplinary projects and built strong networks at events. Working across disciplines comes with terminology differences, varied methods, and different research mindsets. These positive challenges create opportunities for research proposals and innovation.

What advice would you share with other international researchers considering a move to Germany and joining interdisciplinary teams like AIMat?
Embrace challenges, stay curious, and seek collaborations. Stepping out of your comfort zone strengthens both your research and personal growth. Learning German, even at a basic level, helps with daily life, and networking is key to professional growth. Be open to new cultures, be open to new ideas, and you will be more than fine, you will benefit from them in your life.

How does your experience here influence your long-term career and research outlook?
Germany is my second immigration experience after Istanbul, reinforcing my adaptability in international, interdisciplinary environments. The future of research is undeniably a denser interdisciplinary environment. AI and data-driven approaches will continue transforming materials science and chemistry, helping us develop solutions to protect our environment.